Senior Principal Applied Scientist Job at Zalando (Berlin)

Senior Principal Data Scientist

You will be part of a world-class Data Science team that leverages data to drive...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Proven track record of driving projects or programs that have had a significant impact on business strategy and performance
Excels at advising, presenting to and serving as a thought partner to senior executives
10+ years of experience in Data Science or related fields
Expertise in SQL and another data manipulation programming language (e.g., Python, R)
Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker)
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Experience leading and mentoring teams, with a focus on achieving strategic objectives

Job Responsibility

Identify key business challenges and develop strategic initiatives for your cross-functional business partners, be a trusted strategic partner, and build credibility
Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations
Lead and prioritize multiple workstreams and/or large complex data science programs. In collaboration with your data science team and your business partners, you will be making informed decisions about priorities, timing, and resourcing
Drive best practice techniques for communicating complex, unfamiliar, challenging, and/or difficult information, including the development and use of frameworks and conceptual models
Lead the evolution of data assets in your team. Coordinate with and influence other data science and engineering teams working on Atlassian Intelligence to ensure alignment of metrics, measurement, and analysis methodologies
Leverage broader industry knowledge to establish frameworks to measure customer engagement with and quality of Atlassian intelligence features
Actively share your work and knowledge to benefit work done across data science
Proactively enable your data science team to address business needs and navigate change and ambiguity
Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian

What we offer

health coverage
paid volunteer days
wellness resources
benefits
bonuses
commissions
equity

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...

Location

United States

Salary:

222300.00 - 348975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
Agile development mindset, with a focus on iterative improvement and business impact

Job Responsibility

Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services

What we offer

health and wellbeing resources
paid volunteer days
benefits, bonuses, commissions, and equity

Fulltime

Senior Applied Scientist / Principal Applied Scientist

We are hiring multiple Senior Applied Scientists and Principal Applied Scientist...

Location

Costa Rica , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field
OR equivalent experience in lieu of academic degrees
At least 5 years of experience in predictive analytics, statistics, or research
Experience with synthetic data generation and data management for evaluation/training
At least one year of experience publishing patents or peer-reviewed papers
Proficiency in English and cross-functional collaboration
Deep motivation for user-centric AI and interest in human cognition, memory, and AI

Job Responsibility

Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models
Write production-quality code, apply debugging best practices, and stay current with industry trends
Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Shape product direction by integrating rigorous scientific methods into the product lifecycle
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

Senior Applied Scientist and Principal Applied Scientist

Are you passionate about advancing Artificial Intelligence through innovative re...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Additional or Preferred Qualifications: Bachelor's Degree AND 6+ years related experience
OR Master's Degree AND 4+ years related experience
OR Doctorate AND 3+ years related experience
OR equivalent experience

Job Responsibility

Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learning solutions optimized for human-human and human-AI interactions across productivity and collaboration scenarios
Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core
Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization
Adapt, extend or enhance the capability of large language models (LLMs) using a combination of supervised finetuning, reinforcement learning, and apply advanced techniques such as chain of thought prompting, agent orchestration, and synthetic data generation to meet evolving business needs
Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries
Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements
Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices
Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency
Mentor and develop early-in-career team members, establish best practices, and collaborate with academic communities to build a robust recruiting pipeline for research talent
Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms

Fulltime

Senior Applied Scientist and Principal Applied Scientist

AI has created an unprecedented opportunity to make work better for hundreds of ...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

A record of publications in top-tier scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, KDD, WWW, CHI, PNAS, Nature, EMNLP, CVPR, ICCV, ECCV, CoRL)
Doctorate (or currently pursuing) in Computer Science, Electrical or Computer Engineering, Information Science, Statistics or related field AND 1+ years of experience
OR Master’s Degree AND 3+ years of relevant experience
OR Bachelor’s Degree AND 4+ years of relevant experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Shape product direction by integrating rigorous scientific methods into the product lifecycle
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

Senior Applied Scientist and Principal Applied Scientist

The Microsoft Applied Sciences Group incubates disruptive technologies for Micro...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Optimize, fine tune and transform models for edge device inferencing
Contribute to the technical design, architecture, development, and evaluation of DNN models
Collaborate with engineering and product development teams
Contribute to a real-time system involving multiple components
Assist in identifying and addressing issues in ML frameworks and associated hardware
Mentor junior engineers and contribute to team knowledge-sharing sessions

Fulltime

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Senior Principal Applied Scientist

Job Responsibility

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